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INSPIRE-HEP Physics Papers Scraper

Search high energy physics literature on INSPIRE-HEP by keyword. Each paper returns the title, first author, author count, citation count, journal title and year, and arXiv id. Useful for academic research, tracking citations, and building a bibliography of the physics field.

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from $4.52 / 1,000 results

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🔬 INSPIRE-HEP Papers Scraper

🚀 Export high-energy physics papers in seconds. Search INSPIRE-HEP and get title, authors, abstract, citation count, arXiv ID, DOI, and journal on every record.

INSPIRE-HEP is the reference literature database for high-energy physics. This Actor reads the public INSPIRE API and returns a clean, ready to use feed of papers with arXiv and DOI links resolved and author lists flattened.

🎯 Target Audience	💡 Primary Use Cases
Physicists and researchers	Literature reviews and citation tracking
Bibliometrics analysts	Study citation and publication trends
Science writers	Find and cite recent papers
Reference tool builders	Power a physics paper search

📋 What it does

Searches INSPIRE-HEP with plain keywords or full INSPIRE syntax (title higgs, author Witten).
Sorts by most recent, most cited, or oldest first.
Returns citation count, arXiv ID (with link), DOI (with link), and journal reference.
Flattens the author list and adds first author and author count.

📊 Data fields

Each record includes: arxivId, authorCount, citationCount, firstAuthor, inspireUrl, journalTitle, journalYear, results, scrapedAt, title. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

Create a free Apify account with this sign up link.
Open the INSPIRE-HEP Papers Scraper in the Apify Console.
Enter a query, pick a sort order, set how many records you want, and run.
Collect the results from the output table or the API.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.

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